Content:

In this workshop, you will learn how to effectively integrate AI technologies, particularly Large Language Models (LLMs), into your work processes. You will become familiar with and practically apply both cloud-based and local LLM solutions.
Thanks to hands-on exercises and real-world use cases, you will develop the ability to use AI tools in a targeted and efficient manner.
We will start with the basics and then delve into advanced concepts such as prompt engineering and RAG, until you are finally able to implement AI solutions for specific DevSecOps tasks.

Key Concepts:
- Introduction to AI and LLMs: Understanding the fundamentals, current developments, and future perspectives.
- Practical use of LLMs: Learning to implement and use local and cloud-based LLMs.
- Prompt Engineering: Developing skills for efficient and creative interaction with LLMs, as well as techniques for minimizing hallucinations and improving output accuracy.
- DevSecOps Use Cases: Hands-on examples for targeted application of AI in the DevSecOps field.
- AI Tool Landscape: Getting to know and applying various tools such as k8s-gpt, aiac, ollama, and llmstudio.

Disclaimer: The actual course content may vary from the above, depending on the trainer, implementation, duration and constellation of participants.

Whether we call it training, course, workshop or seminar, we want to pick up participants at their point and equip them with the necessary practical knowledge so that they can apply the technology directly after the training and deepen it independently.